Course Content and Outcomes Guide for GEO 246 Effective Summer 2020
- Course Number:
- GEO 246
- Course Title:
- Remote Sensing and Image Analysis
- Credit Hours:
- Lecture Hours:
- Lecture/Lab Hours:
- Lab Hours:
- Special Fee:
Course DescriptionIntroduces theory, methods, and application of remote sensing and image analysis. Includes remotely sensed data acquisition and analysis, aerial photographs and photogrammetry, visual image interpretation, characteristics of various sensing systems, and digital image processing techniques. Prerequisites: GEO 265, and WR 115, RD 115 and MTH 20 or equivalent placement. Audit available.
Intended Outcomes for the course
Upon completion of the course students will be able to:
- Obtain and prepare data for remote sensing analysis.
- Critically analyze and interpret remotely sensed data.
- Use an understanding of remote sensing technology and data to examine cultural and environmental issues.
- Be efficient and resourceful to problem solve both technical and process-oriented issues
Course Activities and Design
The materials in this course will be presented in a computer lab setting through classroom lecture, discussion, software demonstrations, peer critique, and computer-based assignments. Other methods may be implemented such as small group work and in-class activities.
Outcome Assessment Strategies
Students will be expected to demonstrate mastery of themes, concepts, issues, competencies and skills by any combination of the following:
- Written results of class labs and exercises
- Completion of exams and quizzes
- Completion of a final project
- In-class discussions
- Map critiques
Course Content (Themes, Concepts, Issues and Skills)
Content, Themes, Concepts
- Remote Sensing
- Aerial photos, satellite imagery
- Visual image interpretation
- Various sensing systems - multispectral, thermal, hyperspectral, microwave, LiDAR
- Digital image processing
- Applications of remotely sensed data and imagery
Issues & Skills
- Find, obtain, and prepare remotely sensed data
- Interpret metadata
- Troubleshoot technical issues
- Critically analyze and interpret remote sensed imagery
- Differentiate types, uses, and analyses of remote sensed data